Google Scholar

2017

  • Fake News Stance Detection using Stacked Ensemble of Classifiers, James Thorne, Mingjie Chen, Giorgos Myrianthous, Jiashu Pu, Xiaoxuan Wang and Andreas Vlachos, Proceedings of the 2017 EMNLP Workshop: Natural Language Processing meets Journalism, pdf bib

  • Sheffield at SemEval-2017 Task 9: Transition-based language generation from AMR, Gerasimos Lampouras and Andreas Vlachos, Proceedings of the 11th International Workshop on Semantic Evaluation pdf bib

  • An Extensible Framework for Verification of Numerical Claims, James Thorne and Andreas Vlachos, Proceedings of the Software Demonstrations of the 15th Conference of the European Chapter of the Association for Computational Linguistics pdf bib

  • Continuous N-gram Representations for Authorship Attribution, Yunita Sari, Andreas Vlachos and Mark Stevenson, Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics: Volume 2, Short Papers pdf bib

2016

  • Imitation learning for language generation from unaligned data, Gerasimos Lampouras and Andreas Vlachos, Proceedings of the 26th International Conference on Computational Linguistics pdf bib

  • Timeline extraction using distant supervision and joint inference, Savelie Cornegruta and Andreas Vlachos, Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing pdf bib

  • Stance Detection with Bidirectional Conditional Encoding, Isabelle Augenstein, Tim Rocktäschel, Andreas Vlachos and Kalina Bontcheva, Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing pdf bib

  • Noise reduction and targeted exploration in imitation learning for Abstract Meaning Representation parsing, James Goodman, Andreas Vlachos and Jason Naradowsky, Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics pdf supplementary material bib

  • Emergent: a novel data-set for stance classification, William Ferreira and Andreas Vlachos, Proceedings of the 15th Annual Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies pdf bib

  • UCL+Sheffield at SemEval-2016 Task 8: Imitation learning for AMR parsing with an α-bound, James Goodman, Andreas Vlachos and Jason Naradowsky, Proceedings of the 10th International Workshop on Semantic Evaluation pdf bib poster (docker image with slightly better results (0.61) here)

  • SHEF-MIME: Word-level Quality Estimation Using Imitation Learning, Daniel Beck, Andreas Vlachos, Gustavo Paetzold, and Lucia Specia, First Conference on Machine Translation, Volume 2: Shared Task Papers pdf bib

  • USFD at SemEval-2016 Task 6: Any-Target Stance Detection on Twitter with Autoencoders, Isabelle Augenstein, Andreas Vlachos and Kalina Bontcheva, Proceedings of the 10th International Workshop on Semantic Evaluation pdf bib

2015

  • Identification and Verification of Simple Claims about Statistical Properties, Andreas Vlachos and Sebastian Riedel, Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing pdf bib

  • A Strong Lexical Matching Method for the Machine Comprehension Test, Ellery Smith, Nicola Greco, Matko Bošnjak and Andreas Vlachos, Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing pdf bib

  • Extracting Relations between Non-Standard Entities using Distant Supervision and Imitation Learning, Isabelle Augenstein, Andreas Vlachos and Diana Maynard, Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing pdf bib

  • Dependency Recurrent Neural Language Models for Sentence Completion, Piotr Mirowski and Andreas Vlachos, Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and The 7th International Joint Conference of the Asian Federation of Natural Language Processing pdf bib

2014

  • A New Corpus and Imitation Learning Framework for Context-Dependent Semantic Parsing, Andreas Vlachos and Stephen Clark, Transactions of the Association for Computational Linguistics pdf bib video

  • Application-Driven Relation Extraction with Limited Distant Supervision, Andreas Vlachos and Stephen Clark, Proceedings of the Coling AHA! Workshop on Information Discovery in Text pdf bib

  • Fact Checking: Task definition and dataset construction, Andreas Vlachos and Sebastian Riedel, Proceedings of the ACL Workshop on Language Technology and Computational Social Science pdf bib

2013

  • Dependency language models for sentence completion, Joseph Gubbins and Andreas Vlachos, Proceedings of 2013 Conference on Empirical Methods in Natural Language Processing pdf bib

  • Semantic Parsing as Machine Translation, Jacob Andreas, Andreas Vlachos and Stephen Clark, Proceedings of the 51st Annual Meeting of the Association for Computational Linguistics pdf bib

2012

  • An investigation of imitation learning algorithms for structured prediction, Andreas Vlachos, JMLR Workshop and Conference Proceedings Volume 24: the 10th European Workshop in Reinforcement Learning pdf bib

  • Biomedical event extraction from abstracts and full papers using search-based structured prediction, Andreas Vlachos and Mark Craven, BMC Bioinformatics, Volume 13, Supplement 11 pdf html bib

2011

  • Search-based Structured Prediction applied to Biomedical Event Extraction, Andreas Vlachos and Mark Craven, Proceedings of the Fifteenth Conference on Computational Natural Language Learning pdf bib

  • Biomedical Event Extraction from Abstracts and Full Papers using Search-based Structured Prediction, Andreas Vlachos and Mark Craven, Proceedings of the BioNLP 2011 shared task workshop pdf bib (this paper was revised and extended in the BMC article above)

  • Evaluating unsupervised learning for natural language processing tasks, Andreas Vlachos, Proceedings of the EMNLP 2011 Workshop on Unsupervised Learning in NLP pdf bib

2010

  • Two strong baselines for the BioNLP 2009 event extraction task, Andreas Vlachos, Proceedings of the 2010 Workshop on Biomedical Natural Language Processing pdf bib

  • Detecting Speculative Language using Syntactic Dependencies and Logistic Regression, Andreas Vlachos and Mark Craven, Proceedings of the Fourteenth Conference on Computational Natural Language Learning – Shared Task pdf bib

  • Active learning for constrained Dirichlet process mixture models, Andreas Vlachos, Zoubin Ghahramani and Ted Briscoe, Proceedings of the ACL workshop on GEometrical Models of Natural Language Semantics pdf bib

  • Scaling the iHMM: Parallelization versus Hadoop, Sébastien Bratières, Jurgen van Gael, Andreas Vlachos and Zoubin Ghahramani, Proceedings of the Workshop on Scalable Machine Learning and Applications,IEEE International Conference on Computing and Information Technology pdf bib

2009

  • The infinite HMM for unsupervised PoS tagging, Jurgen Van Gael, Andreas Vlachos and Zoubin Ghahramani, Proceedings of the 2009 Conference on Empirical Methods in Natural Language Processing pdf bib

  • Biomedical Event Extraction without Training Data, Andreas Vlachos, Paula Buttery, Diarmuid Ó Séaghdha and Ted Briscoe, Proceedings of the BioNLP 2009 Workshop Companion Volume for Shared Task pdf bib

  • Unsupervised and Constrained Dirichlet Process Mixture Models for Verb Clustering, Andreas Vlachos, Anna Korhonen and Zoubin Ghahramani, Proceedings of the ACL Workshop on Geometrical Models of Natural Language Semantics pdf bib

2008

  • Dirichlet Process Mixture Models for Verb Clustering, Andreas Vlachos, Zoubin Ghahramani and Anna Korhonen, Proceedings of the ICML workshop on Prior Knowledge for Text and Language pdf bib

  • Natural Language Processing in aid of FlyBase curators, Nikiforos Karamanis, Ruth Seal, Ian Lewin, Peter McQuilton, Andreas Vlachos, Caroline Gasperin, Rachel Drysdale and Ted Briscoe, BMC Bioinformatics, Volume 9:193 pdf html bib

  • A stopping criterion for active learning, Andreas Vlachos, Computer, Speech and Language, Volume 22, Issue 3, July 2008 pdf publisher bib

2007

  • Evaluating and combining biomedical named entity recognition systems, Andreas Vlachos, Proceedings of the 2007 Workshop on Biological, translational, and clinical language processing pdf bib

  • Tackling the BioCreative2 Gene Mention task with Conditional Random Fields and syntactic parsing, Andreas Vlachos, Proceedings of the Second BioCreative Challenge Evaluation Workshop pdf bib

  • From gene names to actual genes, Ioannis Korkontzelos, Andreas Vlachos and Ian Lewin, Proceedings of BioLINK SIG: Linking Literature, Information and Knowledge for Biology pdf bib

2006

  • Bootstrapping and Evaluating Named Entity Recognition in the Biomedical Domain, Andreas Vlachos and Caroline Gaseprin, Proceedings of the HLT-NAACL BioNLP Workshop on Linking Natural Language and Biology pdf bib

  • Active Annotation, Andreas Vlachos, Proceedings of the Workshop on Adaptive Text Extraction and Mining pdf bib

  • Bootstrapping the recognition and anaphoric linking of named entities in Drosophila articles, Andreas Vlachos, Caroline Gasperin, Ian Lewin and Ted Briscoe, Proceedings of the 2006 Pacific Symposium in Biocomputing pdf bib

2004

  • Using Hierarchical Clustering to Enhance Classification Accuracy, Matthaios Theodorakis, Andreas Vlachos and Theodoros Z. Kalamboukis, Proceedings of the 3rd Hellenic Conference in Artificial Intelligence pdf bib

Theses

  • Semi-supervised learning for biomedical information extraction, Andreas Vlachos, 2010, Computer Laboratory, University of Cambridge pdf bib

  • Active learning with support vector machines, Andreas Vlachos, 2004, School of Informatics, University of Edinburgh pdf bib